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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Study on Optimal Setup of the ANN-Aided Aimed Multilevel Sampling Optimization Method
 Šplíchal, Bohumil ; Lehký, David
This paper deals with the application of Aimed multilevel sampling metaheuristic optimization method supported by an artificial neural network. The main aim is to study the optimal parameter settings of this method for damage identification on a two-span steel truss using a limited number of simulations. The convergence rate is tested as a function of the number of simulations and the choice of the parameter that controls the resizing of the design space. The results are summarized and discussed with respect to their practical applicability in bridge damage identification using structural health monitoring data.
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Correlation of AE Signal Changes to Rolling Contact Damage Propagation
 Nohál, Libor ; Čermák, Jan (referee) ; Hájek, Karel (referee) ; Hutař, Pavel (referee) ; Mazal, Pavel (advisor)
This PhD thesis deals with the experimental study of more precise rolling contact fatigue damage detection using acoustic emission method. A series of experiments was carried out on two representatives bearing steels and the analysis of sensitivity for the presence of contact damage was performed on selected parameters of acoustic emission. The extent of damage was classified into four classes and signal parameters the most characterizing the development of damage were correlated with the extent of damage. It was also verified the influence of lubricants on acoustic emission signals. The results have an impact on the implementation of more precise rolling contact fatigue tests and evaluation of parameters of acoustic emission signal. On the basis of experiments was established methodology for more precise RCF testing method using acoustic emission on test-rig AXMAT II.
Detailed record
Correlation of AE Signal Changes to Rolling Contact Damage Propagation
 Nohál, Libor ; Čermák, Jan (referee) ; Hájek, Karel (referee) ; Hutař, Pavel (referee) ; Mazal, Pavel (advisor)
This PhD thesis deals with the experimental study of more precise rolling contact fatigue damage detection using acoustic emission method. A series of experiments was carried out on two representatives bearing steels and the analysis of sensitivity for the presence of contact damage was performed on selected parameters of acoustic emission. The extent of damage was classified into four classes and signal parameters the most characterizing the development of damage were correlated with the extent of damage. It was also verified the influence of lubricants on acoustic emission signals. The results have an impact on the implementation of more precise rolling contact fatigue tests and evaluation of parameters of acoustic emission signal. On the basis of experiments was established methodology for more precise RCF testing method using acoustic emission on test-rig AXMAT II.
Detailed record

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